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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Toba: Journal of Tourism, Hospitality, and Destination
Yunita Fitri Yanti
Politeknik Negeri Lampung
Computer Science & IT Engineering Social Sciences

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ANALISIS SENTIMEN ULASAN HOTEL TRIPADVISOR MENGGUNAKAN TF-IDF DAN MACHINE LEARNING: PERBANDINGAN KINERJA SUPPORT VECTOR MACHINE DAN LOGISTIC REGRESSION Muhammad Fadli; Yunita Fitri Yanti; Tina Nurzachra Latifah Rizki Liana; Rifka Simbolon; Ratu Sinar Sari Tanjung; Hadori Rosadi; Budi Rahman
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.8261

Abstract

Online reviews on platforms like TripAdvisor play a crucial role in consumer decision making and hotel reputation management. However, the massive and unstructured volume of data requires a fast and accurate automated analysis method. This study aims to analyze the sentiment of TripAdvisor hotel reviews and compare the performance of the Support Vector Machine (SVM) and Logistic Regression (LR) algorithms. The dataset consists of 20,491 reviews classified into three sentiment classes: positive, negative, and neutral. Feature extraction was performed using the Term Frequency-Inverse Document Frequency (TF-IDF) method. To handle the class imbalance issue and ensure robust evaluation, the models were evaluated using Stratified 10-Fold Cross-Validation. The results indicate that Logistic Regression outperforms Support Vector Machine, achieving an average accuracy of 81.46% and an F1-Score of 83.02%, compared to Support Vector Machine which obtained an accuracy of 80.41% and an F1-Score of 82.20%. Both models showed excellent performance on the positive class but faced challenges on the neutral class due to semantic ambiguity and majority class dominance. In conclusion, Logistic Regression proves to be a more optimal, stable, and efficient model for sentiment classification on imbalanced data, making it highly applicable for assisting hotel management in monitoring customer feedback in real time.
Optimalisasi Pengelolaan Homestay sebagai Alternatif Akomodasi Wisata Studi Kasus: Destinasi Pulau Pahawang Rifka Simbolon; Yunita Fitri Yanti; Yudha Sakti Pratama
TOBA: Journal of Tourism, Hospitality, and Destination Vol. 4 No. 2 (2025): May 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/toba.v4i2.6000

Abstract

Homestay is one of the alternative forms of accommodation that has been rapidly developing in community-based tourism areas. As part of sustainable tourism development strategies, homestays are expected not only to provide lodging but also to serve as a medium for interaction between tourists and local communities. This study aims to evaluate the implementation of homestay business standards based on the Regulation of the Ministry of Tourism and Creative Economy Number 9 of 2014 in Pahawang Island Tourism Village, Punduh Pidada Subdistrict, Pesawaran Regency. This research uses a qualitative approach with descriptive-analytical methods. Data were collected through field observation, in-depth interviews, documentation, and questionnaires involving eleven homestay units located in Dusun 3 Jelarangan. The results indicate that while most homestays meet the basic accommodation needs of tourists, they have not fully complied with national business standards. Two homestays were categorized as "good," while the remaining nine were classified as "adequate." Product aspects such as the availability of bedrooms and kitchens are generally fulfilled; however, safety facilities and supporting infrastructure remain inadequate. Service and management aspects are the main weaknesses, marked by the absence of Standard Operating Procedures (SOPs), administrative documentation, and training for homestay managers. The main barriers to standard implementation include limited resources, lack of understanding of regulations, and insufficient institutional support. In conclusion, homestays in Pahawang island hold great potential to be developed as competitive tourist accommodations. However, continuous assistance, managerial training, and integrated institutional support are needed to achieve optimal service quality and strengthen destination competitiveness.
Co-Authors Budi Rahman Hadori Rosadi Muhammad Fadli Ratu Sinar Sari Tanjung Rifka Simbolon Tina Nurzachra Latifah Rizki Liana Yudha Sakti Pratama